Effects Of Economic Structure Research Articles

Socioeconomic metabolism: Drivers of resource productivity

The use of natural resources drives socioeconomic metabolism (SEM) and has been rising as economies develop, but not all countries present the same trends. Understanding how key aspects of the SEM relate to resource use and productivity is critical for promoting sustainable development.This paper analyses 15 years of the SEM dynamics in four European countries by quantifying gross domestic product (GDP) and resource use per capita. The monetary and material flows of Estonia, Croatia, Finland, and the United Kingdom were quantified in monetary and physical input-output tables, enabling the characterization of the flows between the economic sectors and of their cross-correlation indicators, namely through resource productivity.Key findings included the observation of a correlation between high productivity and more developed economies, where infrastructure has been developed for high-productivity services, the effects of economic structure on resource productivity, and on how the SEM developed after an economic recession.

Digital Economy, Factor Allocation Efficiency of Dual-Economy and Urban-Rural Income Gap

The digital economy has significant economic structural transformation effects and income distribution effects. This article analyzed the impacts and mechanisms of digital economy development on the efficiency of dual-economic factor allocation and the urban–rural income gap from a theoretical perspective, empirically tested by using China’s provincial panel data from 2008 to 2017 and a bidirectional fixed effects model. It was found that the development of the digital economy has significantly improved the efficiency of factor allocation in the dual-economy, which has a significant improvement effect on the allocation efficiency of capital and labor. The development of the digital economy alleviates the problem of surplus labor factors and insufficient capital input in the agricultural sector by promoting nonagricultural employment and the flow of capital factors to the agricultural sector. The development of the digital economy can significantly reduce the urban–rural income gap by improving the efficiency of factor allocation in the dual-economy. The main contribution of this article is verifying that the flow of production factors triggered by the digital economy has a configuration efficiency improvement effect and further extending the economic structure effect of the digital economy to the field of distribution, examining the feasible path of optimizing the income distribution pattern of the digital economy.

Analysis of Spatial and Temporal Evolution Characteristics and Influencing Factors of the Water Footprint in Xinjiang from 2000 to 2020

Xinjiang is home to one of the most serious resource-based water shortages, and at the same time, it is an important main production area of grain, cotton, and high-quality fruits and vegetables in China, placing a heavy burden on water resources. Based on this, this paper determines the basic condition of water resources in regions of Xinjiang using the water footprint method. It then identifies the drivers of water footprint changes using the population scale effect, policy support effect, investment–output effect, economic structure effect, water use efficiency effect, and water use structure effect via the LMDI decomposition model. Finally, this paper illustrates the trajectory of the regional water footprint through individual stochastic convergence. This study found the following: (1) The water footprint of Xinjiang showed a fluctuating upward trend, and the total water footprint varied significantly between regions. From a compositional standpoint, most regions were dominated by the agricultural water footprint, while spatially, the regional water footprint had a high distribution trend in the south and a low distribution in the north. (2) The driving effects of the water footprint, policy support, population scale, and water use structure were incremental, while the effects of water use efficiency, economic structure, and investment output were decremental. (3) Most regions in Xinjiang showed individual stochastic convergence trends, indicating that regions converged to their respective compensating difference equilibrium levels. In this regard, it is necessary to strengthen R&D and the promotion of water use technology, further optimize the industrial structure, and leverage the positive effect of government investment to alleviate the regional water constraint dilemma and promote high-quality regional economic development.

Research on the Impact of Energy Price on Carbon Emission Intensity of China—An Empirical Study Based on LMDI Decomposition and Econometric Models

Taking the data of various sectors and three industries from 1980 to 2019 as the research object, the LMDI-I (Logarithmic Mean Divisia Index) multiplicative decomposition model, which is based on the principle of decomposing the change in energy consumption into the contribution of each factor, was used to decompose the carbon emission intensity into technological progress effect and economic structure changing effect. Meanwhile, quantitative econometric models of energy price, economic growth, energy consumption structure, and the two effects were also established. The empirical results showed that energy price, economic growth, and energy consumption structure significantly influenced the reduction in carbon emission intensity. A positive U-shaped relationship between energy prices and carbon emission intensity was overserved, and the rise of energy prices mainly drive the decline of carbon emission intensity through the effect of technological progress. However, the effect of economic structure driven by the rise of energy prices was limited; thus, further optimization of economic structure is needed. Additionally, the proportion of coal consumption was positively correlated with the technological progress effect and economic structure change effect, while the decrease in coal consumption proportion promoted the decline of carbon emission intensity. Finally, three recommendations based on the analysis were proposed.

Exploring the Impact of Economic Structure on Carbon Emissions: A Case Study of Pakistan

Climate change has marked its effects on Pakistan in form of different problems like floods, droughts, change in crop patterns, heat waves, changes in weather conditions and health issues. One of the reason of climate change is environmental degradation that’s why several studies are conducted in case of Pakistan to examine the factors of environmental degradation. This study also explores the factors of environmental degradation for Pakistan and is unique study as so for none of the empirical studies conducted in context of Pakistan analyzed the effect of economic structure on environmental degradation. So, the prime objective of this study is to explore the impact of economic structure on environmental degradation. The economic structure for Pakistan’s economy is being captured through agriculture, industrial and service sector over the years. As energy and trade openness grab attention from researchers in examining factors of environmental degradation thus; energy consumption and trade openness are introduced in the study model as control variables. Once order of integration of time series data is determined, long run relationship is found through bound testing approach. Agricultural and service sector are found to have negative impact on environmental degradation but; service sector has insignificant effect on environmental degradation. The industrial sector is aggravating environmental degradation in long run but; is abstaining environmental degradation in short run. Hence; the different effect of industrial sector on environmental degradation in long run and short run is providing the opportunity for policy makers to come up with different policy measure for long run and short run. Energy is found to have positive and significant effect on environmental degradation in both time spans whereas trade openness has negative and significant effect on environmental degradation in long run. Policy implications are suggested on basis of findings of this study for Pakistan.

The role of energy consumption in global carbon intensity change: A meta-frontier-based production-theoretical decomposition analysis

Energy consumption is an essential component of economic development, the main source of carbon dioxide emissions, and therefore an important factor in shaping global carbon intensity (carbon emissions per unit of GDP, CI). Untangling the reasons underlying global CI change from an energy system perspective is therefore important to achieve the balance between economy growth and carbon emissions. However, due to the heterogeneities in different economies, this exploration is challenging. We develop a meta-frontier-based production-theoretical decomposition analysis (PDA) method to track the progress of CI change in 79 economies (divided into four groups) during 2007–2014 with heterogeneities of efficiency and technology between economies taken into account. We found that developing countries with large energy consumption (Group-DL) were more energy efficient, while high energy consumption developed countries (Group-HL) and low energy consumption developing countries (Group-DS) have achieved significant technological progress. Global CI reduction was due to the decreased potential energy intensity effect (PEI), primarily in Group-DL countries. The energy technology gap (TGT) and energy efficiency gap (TGE) effects have contributed to the global CI increase but have been less important than the economic structure effect (YOS). Especially countries in Group-DL should pay more attention to narrowing the energy efficiency and energy technology gaps with meta-frontiers.

Harnessing Customer Mindset Metrics to Boost Consumer Spending: A Cross‐Country Study on Routes to Economic and Business Growth

AbstractThe relationship between customer mindset metrics (CMMs) and consumer spending has been extensively investigated at the consumer and firm level, but little is known about it at the national level, nor about how it differs between countries. Drawing on five publicly available datasets gathered in 10 European countries over 20 years, our study traces the connections between three CMMs – customer satisfaction, perceived service quality and loyalty intentions – and consumer spending, as well as examining the moderating cross‐country effects of culture, socioeconomic factors, economic structure and political–economic elements. The results show that the CMMs significantly influence consumer spending in all the countries studied, with the effects most pronounced in societies with relatively low education levels, a dominant service sector, fewer barriers to business and international trade and a foundation of survival values rather than self‐expressive values. Our findings suggest that CMMs can be used to boost not just business performance but also economic growth, and therefore have significant implications for policymakers as well as practitioners and companies.

Spatial Dependence, Social Networks, and Economic Structures in Japanese Regional Labor Migration

This study empirically analyzes the determinants of regional labor migration in Japan, where small towns are disappearing due to the shortage of labor. Using spatial models of origin–destination flows and considering network effects of labor and economic structures, we obtain results more consistent with the standard migration theory, compared to previous studies. In particular, we find that migration decisions are based on economic motivations and that high (low) unemployment rates in origin (destination) regions and low income in origin regions are important determinants of labor migration flows. Second, we report that network effects, which help reduce migration costs, play a significant role in the relocation of labor. Finally, considering different definitions of spatial weights based on distance, the volume of traded goods, and economic structures, we show that regional dependence is most appropriately defined by the similarity in economic structures. In other words, migration patterns are similar between regions that rely on analogous economic activities.

Identifying the drivers of changes in embodied food-energy-water in the Bohai mega-urban region, China: A perspective of final demands.

Food-energy-water (FEW) systems in the Bohai mega-urban region (MUR) have experienced astonishing changes in recent decades; however, the dynamics of these changes are not fully understood. This study combined an ecological multiscale input-output model and a structural decomposition analysis (SDA) to explore the variation in embodied FEW consumption and its drivers. The results showed that, although almost all sectoral embodied FEW intensities decreased, embodied FEW demands increased by approximately 9.9×108 tons, 4.61×107 TJ and 1.1×1011 m3 over 10-year period. The embodied FEW flow diagrams show that local consumption and trade were strengthened. Urban household consumption, fixed capital formation and exports were the main components affecting the embodied FEW use increases. An SDA revealed that the consumption level effect (∆c) was the dominant contributor that promoted the increase in the Bohai MUR's embodied FEW consumption. The scale effect (∆p) also had a positive effect on the embodied FEW consumption increases. The technological effect (∆e) was the primary contributor to offset the embodied FEW consumption increase. The economic efficiency effect (∆L) and structural effect (∆sd) also contributed to offsetting the total embodied FEW consumption increase. The effect of the change in domestic and foreign imports (∆D and ∆F) impacted the increase in embodied FEW mainly through the change in the embodied FEW intensities and trade volumes. This study identified the changes in FEW systems and highlighted future coping strategies.

Analysis of the impact of the Beijing-Tianjin-Hebei coordinated development on environmental pollution and its mechanism.

Taking detailed rules for implementing of the plan on atmospheric pollution prevention and control in Beijing-Tianjin-Hebei region and surrounding areas promulgated and implemented in 2013 as the starting point, taking air pollution as the research object, using the propensity score matching method and difference-in-differences method to answer whether coordinated development of Beijing-Tianjin-Hebei is conducive to resolving the problem of air pollution. Using panel data from 251 cities in China 2003-2016, this paper discusses the environmental effects and mechanisms of coordinated urban cluster development. The results showed that the coordinated development of Beijing-Tianjin-Hebei had a significant and continuous effect on the convergence of PM2.5 to low levels. The results of further mechanism identification show that the policy of atmospheric joint defense rules in the process of Beijing-Tianjin-Hebei coordinated development mainly promotes the convergence of PM2.5 through population and economic scale effect, structural effect and technical effect, and promotes the convergence of PM2.5 in the low direction by reducing the economic growth scale of the city itself. It is suggested to further promote the formation and development of Beijing-Tianjin-Hebei integration, strengthen cooperation among local governments in environmental governance e across regions, and promote the green growth and coordinated development of urban clusters.

Regional economic structure and heterogeneous effects of monetary policy: evidence from Indonesian provinces

We analyze how regional economic structures affect the impact of monetary policy on rates of inflation across 34 Indonesian provinces. The paper first applies structural factor augmented vector autoregressive model (SFAVAR) to all the 34 provinces based on monthly provincial data in order to measure the length and magnitude of responses of regional inflation to monetary policy shock, derived from the consequential impulse response functions of 34 provinces. In the second step, we analyze the impact of economic structures on the length and magnitude of regional inflationary responses of 34 provinces. We find that the impacts of monetary policy across regions are significantly influenced by economic structural variables such as manufacturing sector share to GDP, mining sector share to GDP, bank lending share to GDP and export share to GDP. In addition, we found the spatial lag, rate of inflation of neighboring provinces, is also statistically significant. In a similar fashion, economic structural variables such as manufacturing sector share to GDP, construction sector share to GDP and investment share to GDP are found statistically significant in explaining regional differences of monetary policy efficiency. Our findings imply economic structures of provinces have to be incorporated to designing monetary policy in Indonesia.

Industrial Structure and Economic Resilience of Non-Metropolitan Regions: An Empirical Base for the Smart Specialization Policies

In this paper, we aim to describe and explain the regional disparities in economic resilience in Slovakia in the period 1997–2017. We focus on the effects of economic structure in combination with the vertical (potential accessibility) and horizontal geographical location. Since the early 1990s, Slovak (non-)metropolitan regions exhibited deep changes in the sectoral structure of the economy that were followed by sharp unemployment increases. Due to the FDI-fueled economic growth in the last two decades, however, considerable progress in regional economic growth and reduction in unemployment was recorded. Therefore, Slovak non-metropolitan regions provide valuable lessons for the analysis of regional economic resilience in a long-term period. We ask if, and to what extent were, the prospects of regional renewal after economic crises associated with the geographical location, economic diversity, firm size and sectoral structure of the economy. We employed spatial regression models to test the effects of the potential accessibility, horizontal geographical location and industrial diversity, and sectoral (agriculture, manufacturing) and firm size structure. The dependent variable, Economic Resilience, was measured by the Regional Development Index, combining the indicators of demographic ageing, net migration, income per capita and registered unemployment rate. Potential accessibility and horizontal geographical location were the key predictors of regional economic resilience. Districts with tertiarized and diversified industrial and firm size structures scored, on average, higher in RDI than specialized districts with large firms and/or a high share of agriculture/manufacturing in total employment.

Genetic Diversity in 19th Century Barley (Hordeum vulgare) Reflects Differing Agricultural Practices and Seed Trade in Jämtland, Sweden

Landrace crops are important genetic resources, both for plant breeding efforts and for studying agrarian history. The distribution of genetic diversity among landraces can reflect effects of climate, economic structure, and trade also over a limited spatial and temporal scale. In this study, we have SNP genotyped historical barley seed samples from the late 19th century, together with extant barley landrace accessions from Jämtland, Sweden, a county centrally located, situated between Sweden and Norway. We found two main genetic clusters, one associated with the main agricultural district around lake Storsjön and one in the peripheral areas. Data was also compared with genotypes from landraces from across the Scandinavian peninsula. Accessions from the peripheral part of Jämtland show genetic similarity to accessions from a large part of central Scandinavia, while the accessions from the Storsjön district are more differentiated. We suggest that these dissimilarities in genetic diversity distribution are explained by differences in the relative importance of agriculture and trading. We further compared the historical material with ex situ preserved extant landraces from the same region and found that their genetic diversity was not always representative of the given provenience. The historical material, in contrast, proved particularly valuable for assessing how crop genetic diversity has historically been influenced by economic focus.

The Diversity Imperative: The Effects of Local Economic Structure and Social Capital on Local Philanthropy

The Diversity Imperative: The Effects of Local Economic Structure and Social Capital on Local Philanthropy

Spatiotemporal Comparison of Drivers to CO2 Emissions in ASEAN: A Decomposition Study

The Southeast Asian region is one of the most vulnerable to climate change given its geographical location and economic situation. This study aims to conduct a combination of spatial and temporal analyses in order to understand differences between member nations in terms of driving factors to changing emissions. The logarithmic mean Divisia index (LMDI) method was used in order to estimate carbon dioxide emissions due to population, economic activity, economic structure, and energy intensity effects from the year 1990 to 2018. In conducting the study, spatial analysis showed that Singapore was the only country to effectively lessen carbon emissions, due to population and energy intensity, in comparison to the others. Additionally, temporal analysis showed that the ASEAN initially developed at the same rate, before countries such as Singapore, Malaysia, and Thailand, started becoming more economically active, as shown by their economic activity. Finally, results have shown that some countries, especially the Philippines and Indonesia, have undergone significant changes in economic structure, which significantly affected carbon emissions. The results also highlight the increasing per capita emissions as income levels rise. The paper concludes by presenting a summary of the findings and some policy recommendations.

Preventing a rebound in carbon intensity post-COVID-19 - lessons learned from the change in carbon intensity before and after the 2008 financial crisis.

The carbon emission rebound of the post-2008 financial crisis teaches us a lesson that avoiding a rebound in carbon intensity is key to prevent the carbon emission increase afterward. Although how carbon emission will change the world after the COVID-19 pandemic is unknown, it is urgent to learn from the past and avert or slow down the potential rebound effect. Therefore, this study aims to identify key drivers of carbon intensity changes of 55 sectors, applying the decomposition techniques and the world input-output data. Our results demonstrate that global carbon intensity fluctuates drastically when shocked by the global financial crisis, presenting an inversed-V shape for the period 2008–2011. Industrial carbon emission and gross output vary among different industries, the growth rate of industrial carbon intensity varies from -55.55% to 23.77%. The energy intensity effect and economic structure effect have opposite impacts on carbon intensity decrease, accelerating and hindering the decreasing carbon intensity, respectively. However, the energy mix effect has a minor impact on carbon intensity decrease. The industrial carbon intensity decomposition results show the impact of technological and structural factors are significantly different among industries. Moreover, the impact of energy intensity is slightly stronger than the energy mix. More measures targeting avoiding the rebound in carbon intensity should be developed.

Global Giving

Why do citizens in some countries take more responsibility for the well-being of others than in other countries? This project seeks to understand the genesis of prosociality, investigating its biological foundations, the influence of cultural traditions, and effects of political, economic and legal structure. The dominant theory in economics views philanthropy as a solution to social illnesses that the market and the state are not solving, a view complementary to political science theory on preferences for government provision. Sociologists focus on social norms emerging from religious traditions. Cultural evolutionary theory highlights the instrumental value of trust. Still other theories have suggested a role for natural selection of genes. However, these theories have not been tested stringently nor simultaneously. Also the project includes a very important factor largely ignored thus far: political, legal and economic institutions also affect the level of giving as well as who gives to which causes. Therefore, the objectives of Global Giving are (1) to map country differences in the size and nature of philanthropy across the world; (2) to develop and test multidisciplinary theories explaining these differences; (3) to facilitate international collaboration across disciplinary boundaries in research on philanthropy. The research draws upon 200 surveys recently harmonized by the PI and on new data on philanthropy to be collected among large samples in 145 countries across all continents. Collaboration with international networks of academics safeguards the validity of the questionnaires and experiments. Appropriate multilevel regression models will be used, the lack of which caused biases in previous research. An integrated understanding of philanthropy is useful not only for theory development, but also for government policy makers and practitioners in nonprofit organizations seeking to mobilize philanthropic contributions and make them more effective. The application in practice is ensured through collaboration with a large network of practitioners.

Driving forces and decoupling indicators for carbon emissions from the industrial sector in Egypt, Morocco, Algeria, and Tunisia.

North Africa currently accounts for about 40% of Africa's total CO2 emissions, and the industrial sector is one of the energy-intensive sectors in the region. To this end, special attention should be paid to this region if the African continent's GHG mitigation targets are to be achieved. An extended decomposition approach was combined with the Tapio method to explore the decoupling of CO2 emissions from industrial growth in North African countries over the period of 1990-2016. The effects of five factors were assessed in the decoupling and the study took into account all fossil fuels used in the industrial sector of this region. Unlike Morocco, Egypt, Tunisia, and Algeria, this study did not consider Libya because of the unavailability of data. Meanwhile, the results showed that: (i) low decoupling was achieved in Tunisia, compared with Morocco and Egypt, where significant decoupling occurred significantly over the study period. (ii) Due to the slowdown in industrial growth, the decoupling analysis did not show satisfactory results in the case of Algeria. (iii) Scale effects contributed to promoting decoupling only in Algeria, while the energy intensity effect played a negative role in decoupling only in Tunisia. (iv) The energy structure effect played an important role in decoupling in Tunisia and Egypt, while the economic structural effect favored decoupling in Tunisia and Morocco alone. An energy policy conducive to the use of more renewable energy is needed to promote decoupling in North African countries.

Does China’s carbon emissions trading scheme really work? A case study of the hubei pilot

China launched seven emissions trading scheme (ETS) pilots in 2011, and a national ETS, at the end of 2017 in an attempt to reduce its greenhouse gas emissions (GHGs) and drive its extensive energy transition in a cost-effective way. The Hubei province pilot ETS has operated since 2014, and an analysis of its effectiveness can provide lessons for the nascent national system. This paper disaggregates Hubei’s industrial carbon dioxide (CO2) emissions from 2005 to 2018 into economic scale, economic structure, energy efficiency, and energy structure effects using the logarithmic mean Divisia index (LMDI). Difference-in-difference (DID) models then assess the implementation effectiveness of this ETS, and its impact on the main influencing factors of the LMDI. Ten cities each in the Hubei and Hunan provinces are selected as treatment and control groups, respectively, in the DID models. Results show that the change in industrial CO2 emissions is mainly due to the economic scale and energy efficiency effects. After the ETS implementation, the energy structure effect has a limited impact on emissions, while the economic structure effect makes a negligible contribution. Moreover, the implementation of the ETS has had little demonstrable impact on industrial CO2 emissions, gross domestic product (GDP), energy consumption intensity, and CO2 emission intensity. This lacking of impact is caused by the GHG monitoring capacity deficits of the local Development and Reform Commission, and irrational quota allocations. Effective supervision and quota allocation should be developed to increase the impacts of the ETS.

English

English